Book Image

Mastering Tableau 2021 - Third Edition

By : Marleen Meier, David Baldwin
Book Image

Mastering Tableau 2021 - Third Edition

By: Marleen Meier, David Baldwin

Overview of this book

Tableau is one of the leading business intelligence (BI) tools that can help you solve data analysis challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. Updated with fresh topics including Quick Level of Detail expressions, the newest Tableau Server features, Einstein Discovery, and more, this book covers essential Tableau concepts and advanced functionalities. Leveraging Tableau Hyper files and using Prep Builder, you’ll be able to perform data preparation and handling easily. You’ll gear up to perform complex joins, spatial joins, unions, and data blending tasks using practical examples. Next, you’ll learn how to execute data densification and further explore expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. You’ll also learn about improving dashboard performance, connecting to Tableau Server and understanding data visualization with examples. Finally, you'll cover advanced use cases such as self-service analysis, time series analysis, and geo-spatial analysis, and connect Tableau to Python and R to implement programming functionalities within it. By the end of this Tableau book, you’ll have mastered the advanced offerings of Tableau 2021 and be able to tackle common and advanced challenges in the BI domain.
Table of Contents (18 chapters)
16
Another Book You May Enjoy
17
Index

Custom background images

Custom background images in Tableau open a world of potential. Imagine the ability to visualize any space. Possibilities encompass sports, health care, engineering, architecture, interior design, and much, much more. Despite this wealth of potential, background images in Tableau seem to me to be underutilized. Why? Part of the reason is because of the difficulty of generating datasets that can be used with background images.

Like the tile grid map discussed before, background images require a grid layout to pinpoint x and y coordinates. In the following section, we will address how to use Tableau to create a grid that can be superimposed on an image to instantly identify locations associated with x and y coordinates and relatively quickly produce datasets that can be accessed by Tableau for visualization purposes.

Creating custom polygons

Geographic areas for which Tableau natively provides polygons include country, state/province, county, and...